Autonomous Driving Control Using Sensor Sector Confidence Levels
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
High-order autonomous driving vehicles face safety issues when sensors fail, leading to sudden handover of control to drivers, compromising driving safety and user experience.
Innovation Solution
An intelligent driving method that determines a confidence level of sensing sectors based on sensor fault conditions and adjusts execution strategies for autonomous driving actions to maintain safety and comfort.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sensor fault detection is implemented with direct control handover, then driving safety is compromised due to sudden control transfer, but maintaining autonomous driving requires continuous sensor reliability
Solution Approach 1:
The system divides sensing sectors into multiple regions and establishes confidence levels for each sector before faults occur. When a sensor fault is detected, the system gradually reduces autonomous driving actions in affected sectors rather than immediately handing over control, cushioning the transition to protect both safety and user experience
Solution Approach 2:
The system dynamically adjusts the confidence levels and autonomous driving action execution strategies based on real-time sensor fault conditions. The execution strategy transitions from allowing full autonomous actions to prohibiting new actions while allowing completion of ongoing actions, creating a flexible, adaptive response to sensor failures
2Productivity
If sensor fault tolerance is increased to maintain autonomous driving, then the risk of executing actions based on faulty sensing information increases
Solution Approach 1:
The sensing space is segmented into multiple sensing sectors, each with its own confidence level. This allows the system to maintain autonomous driving in sectors with high confidence while restricting or prohibiting actions in sectors with low confidence due to sensor faults, thus maintaining productivity without compromising reliability
Solution Approach 2:
Different execution strategies are applied to different sensing sectors based on their specific confidence levels. High-confidence sectors allow full autonomous actions, medium-confidence sectors allow completion of ongoing actions, and low-confidence sectors prohibit new actions, creating a localized quality approach to fault tolerance
Data Source
Figure 1
Figure 2~3
Figure 4
AI summary
This application provides an intelligent driving method and apparatus, and relates to the field of intelligent driving, so that when a sensor is faulty, driving safety can be improved, and more comfortable autonomous driving experience can be implemented. The method includes: determining a confidence level of a sensing sector based on a fault condition of a sensor included in the sensing sector; determining, based on the confidence level, an execution strategy corresponding to an autonomous driving action; and executing the autonomous driving action according to the execution strategy.